{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "139002ef",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\penri\\AppData\\Local\\Temp\\ipykernel_33272\\2979793285.py:9: DeprecationWarning: `set_matplotlib_formats` is deprecated since IPython 7.23, directly use `matplotlib_inline.backend_inline.set_matplotlib_formats()`\n",
      "  set_matplotlib_formats('retina')\n"
     ]
    },
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Day</th>\n",
       "      <th>Group</th>\n",
       "      <th>Originality</th>\n",
       "      <th>Interestingness</th>\n",
       "      <th>Writing</th>\n",
       "      <th>Coherence</th>\n",
       "      <th>Overall</th>\n",
       "      <th>Evaluator</th>\n",
       "      <th>unique_id</th>\n",
       "      <th>external</th>\n",
       "      <th>Humanlikeness</th>\n",
       "      <th>English</th>\n",
       "      <th>Experience</th>\n",
       "      <th>Ability</th>\n",
       "      <th>DAT</th>\n",
       "      <th>Total</th>\n",
       "      <th>Idea</th>\n",
       "      <th>Outline</th>\n",
       "      <th>Write</th>\n",
       "      <th>Edit</th>\n",
       "      <th>Satisfaction</th>\n",
       "      <th>Flexibility</th>\n",
       "      <th>Goal</th>\n",
       "      <th>Again</th>\n",
       "      <th>AI_Helpfulness</th>\n",
       "      <th>AI_Satisfaction</th>\n",
       "      <th>AI_Contribution</th>\n",
       "      <th>DAT_Group</th>\n",
       "      <th>Group_</th>\n",
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       "      <th>0</th>\n",
       "      <td>1</td>\n",
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       "      <td>Human Creativity</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Benjamin Joers</td>\n",
       "      <td>1_1</td>\n",
       "      <td>0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.0</td>\n",
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       "      <td>86.81</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Human Creativity</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Rio Dharma</td>\n",
       "      <td>1_1</td>\n",
       "      <td>0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>86.81</td>\n",
       "      <td>80.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Human Creativity</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>allison liegner</td>\n",
       "      <td>1_2</td>\n",
       "      <td>0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>86.81</td>\n",
       "      <td>85.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Human Creativity</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Ryan Ho</td>\n",
       "      <td>1_2</td>\n",
       "      <td>0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>86.81</td>\n",
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       "      <td>70.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Human Confirmation</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Nathan Kidambi</td>\n",
       "      <td>2_1</td>\n",
       "      <td>0</td>\n",
       "      <td>6.5</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
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       "      <td>Pema Euden</td>\n",
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       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>87.08</td>\n",
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       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>7.0</td>\n",
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       "      <td>5.0</td>\n",
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       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
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       "      <td>6.5</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>2193</th>\n",
       "      <td>295</td>\n",
       "      <td>1</td>\n",
       "      <td>Human Creativity</td>\n",
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       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Alan Wu</td>\n",
       "      <td>295_1</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>74.63</td>\n",
       "      <td>66.0</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>40.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>5.0</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>2194</th>\n",
       "      <td>295</td>\n",
       "      <td>2</td>\n",
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       "      <td>5</td>\n",
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       "      <td>6</td>\n",
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       "      <td>55.0</td>\n",
       "      <td>5.0</td>\n",
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       "      <td>5.0</td>\n",
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       "      <td>5.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>2195</th>\n",
       "      <td>295</td>\n",
       "      <td>2</td>\n",
       "      <td>Human Creativity</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Ziqi Yang</td>\n",
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       "      <td>71.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2196 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       ID  Day               Group  Originality  Interestingness  Writing  \\\n",
       "0       1    1    Human Creativity            5                3        4   \n",
       "1       1    1    Human Creativity            5                6        4   \n",
       "2       1    2    Human Creativity            2                1        3   \n",
       "3       1    2    Human Creativity            6                7        7   \n",
       "4       2    1  Human Confirmation            6                5        6   \n",
       "...   ...  ...                 ...          ...              ...      ...   \n",
       "2191  294    2             Copilot            6                4        5   \n",
       "2192  295    1    Human Creativity            5                4        4   \n",
       "2193  295    1    Human Creativity            5                5        6   \n",
       "2194  295    2    Human Creativity            5                5        5   \n",
       "2195  295    2    Human Creativity            5                5        7   \n",
       "\n",
       "      Coherence  Overall        Evaluator unique_id  external  Humanlikeness  \\\n",
       "0             7      4.0   Benjamin Joers       1_1         0            4.5   \n",
       "1             5      5.0       Rio Dharma       1_1         0            4.5   \n",
       "2             5      2.0  allison liegner       1_2         0            3.0   \n",
       "3             6      7.0          Ryan Ho       1_2         0            3.0   \n",
       "4             6      6.0   Nathan Kidambi       2_1         0            6.5   \n",
       "...         ...      ...              ...       ...       ...            ...   \n",
       "2191          5      5.0       Pema Euden     294_2         1            3.0   \n",
       "2192          4      4.0       Pema Euden     295_1         1            6.5   \n",
       "2193          5      5.0          Alan Wu     295_1         1            6.5   \n",
       "2194          6      5.0       Pema Euden     295_2         1            3.5   \n",
       "2195          7      6.0        Ziqi Yang     295_2         1            3.5   \n",
       "\n",
       "      English  Experience  Ability    DAT  Total  Idea  Outline  Write  Edit  \\\n",
       "0         3.0         1.0      2.0  86.81   80.0  12.0      8.0   55.0   5.0   \n",
       "1         3.0         1.0      2.0  86.81   80.0  12.0      8.0   55.0   5.0   \n",
       "2         3.0         1.0      2.0  86.81   85.0  10.0     20.0   15.0  40.0   \n",
       "3         3.0         1.0      2.0  86.81   85.0  10.0     20.0   15.0  40.0   \n",
       "4         2.0         1.0      1.0  89.58    NaN  45.0      NaN    NaN   NaN   \n",
       "...       ...         ...      ...    ...    ...   ...      ...    ...   ...   \n",
       "2191      3.0         3.0      2.0  87.08   45.0   3.0      5.0   25.0  12.0   \n",
       "2192      2.0         1.0      1.0  74.63   66.0   1.0      5.0   40.0  20.0   \n",
       "2193      2.0         1.0      1.0  74.63   66.0   1.0      5.0   40.0  20.0   \n",
       "2194      2.0         1.0      1.0  74.63   55.0   5.0     20.0   25.0   5.0   \n",
       "2195      2.0         1.0      1.0  74.63   55.0   5.0     20.0   25.0   5.0   \n",
       "\n",
       "      Satisfaction  Flexibility  Goal  Again  AI_Helpfulness  AI_Satisfaction  \\\n",
       "0              1.0          4.0   2.0    0.0             NaN              NaN   \n",
       "1              1.0          4.0   2.0    0.0             NaN              NaN   \n",
       "2              3.0          3.0   3.0    0.0             4.0              5.0   \n",
       "3              3.0          3.0   3.0    0.0             4.0              5.0   \n",
       "4              2.0          6.0   2.0    0.0             NaN              NaN   \n",
       "...            ...          ...   ...    ...             ...              ...   \n",
       "2191           7.0          6.0   5.0    1.0             7.0              7.0   \n",
       "2192           5.0          4.0   2.0    0.0             NaN              NaN   \n",
       "2193           5.0          4.0   2.0    0.0             NaN              NaN   \n",
       "2194           3.0          4.0   5.0    1.0             6.0              5.0   \n",
       "2195           3.0          4.0   5.0    1.0             6.0              5.0   \n",
       "\n",
       "      AI_Contribution  DAT_Group  Group_  \n",
       "0                 NaN          3       1  \n",
       "1                 NaN          3       1  \n",
       "2                70.0          3       1  \n",
       "3                70.0          3       1  \n",
       "4                 NaN          3       2  \n",
       "...               ...        ...     ...  \n",
       "2191             91.0          3       3  \n",
       "2192              NaN          2       1  \n",
       "2193              NaN          2       1  \n",
       "2194             71.0          2       1  \n",
       "2195             71.0          2       1  \n",
       "\n",
       "[2196 rows x 30 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "import matplotlib.transforms as transforms\n",
    "import seaborn as sns\n",
    "from IPython.display import set_matplotlib_formats\n",
    "%matplotlib inline\n",
    "set_matplotlib_formats('retina')\n",
    "from scipy import stats\n",
    "import statsmodels.formula.api as smf\n",
    "import statsmodels.api as sm\n",
    "import warnings\n",
    "import matplotlib.path as mpath\n",
    "sns.set(rc={\"figure.dpi\":100, 'savefig.dpi':300})\n",
    "sns.set_context('notebook')\n",
    "sns.set_style(\"ticks\")\n",
    "warnings.filterwarnings('ignore')\n",
    "pd.set_option('display.max_columns', None)\n",
    "df = pd.read_csv('Replication Data for Designing Human and Generative AI Collaboration.csv').iloc[:,1:]\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b0259fa",
   "metadata": {},
   "source": [
    "# A. Genre Distribution Across Treatment Groups "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d454f0e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1400x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.patches import Patch\n",
    "\n",
    "# Dictionary of conditions and their corresponding file names\n",
    "condition_files = {\n",
    "    'Without AI': 'genre_Day1.csv',\n",
    "    'Human Confirmation': 'genre_Confirmation.csv',\n",
    "    'Human Creativity': 'genre_Creativity.csv',\n",
    "    'Copilot': 'genre_Copilot.csv'\n",
    "}\n",
    "\n",
    "# List of all genres (binary columns)\n",
    "all_genres = [\n",
    "    \"Horror Fiction\", \"Mystery/Crime Fiction\", \"Romance\", \"Sci-Fi\", \n",
    "    \"Thriller/Suspense\", \"Western Fiction\", \"Historical Fiction\", \n",
    "    \"Young Adult Fiction\", \"Fantasy\"\n",
    "]\n",
    "\n",
    "# Function to load data and calculate genre percentages\n",
    "def load_and_calculate_percentages(filename):\n",
    "    df = pd.read_csv(filename)\n",
    "    total_stories = len(df)\n",
    "    all_genre_sums = df[all_genres].sum()\n",
    "    all_genre_percentages = (all_genre_sums / total_stories * 100).round(0).astype(int)\n",
    "    return all_genre_percentages\n",
    "\n",
    "# Load data for each condition and calculate percentages\n",
    "data = {}\n",
    "for condition, filename in condition_files.items():\n",
    "    try:\n",
    "        data[condition] = load_and_calculate_percentages(filename)\n",
    "    except FileNotFoundError:\n",
    "        print(f\"Warning: File '{filename}' not found. Skipping condition '{condition}'.\")\n",
    "\n",
    "# Sort genres based on 'Without AI' values, from highest to lowest\n",
    "without_ai_values = data['Without AI']\n",
    "sorted_genres = [genre for _, genre in sorted(zip(without_ai_values, all_genres), reverse=True)]\n",
    "\n",
    "# Reorder the data for each condition to match the new sorted genre order\n",
    "for condition in data:\n",
    "    data[condition] = data[condition].reindex(sorted_genres)\n",
    "\n",
    "all_genres = sorted_genres\n",
    "condition_order = ['Without AI', 'Human Confirmation', 'Human Creativity', 'Copilot']\n",
    "\n",
    "# Load 'All Genres' data for each condition (second plot)\n",
    "def load_and_calculate_all_genre_percentages(filename):\n",
    "    df = pd.read_csv(filename)\n",
    "    total_stories = len(df)\n",
    "    all_genre_counts = df[all_genres].sum()\n",
    "    all_genre_percentages = (all_genre_counts / total_stories * 100).round(2)\n",
    "    return all_genre_percentages\n",
    "\n",
    "# Load second figure data\n",
    "data_figure2 = {}\n",
    "for condition, filename in condition_files.items():\n",
    "    try:\n",
    "        data_figure2[condition] = load_and_calculate_all_genre_percentages(filename)\n",
    "    except FileNotFoundError:\n",
    "        print(f\"Warning: File '{filename}' not found. Skipping condition '{condition}'.\")\n",
    "\n",
    "# Reorder the data for second figure as well\n",
    "for condition in data_figure2:\n",
    "    data_figure2[condition] = data_figure2[condition].reindex(sorted_genres)\n",
    "\n",
    "# Combine both plots stacked vertically using subplots\n",
    "def create_combined_plot(data_figure1, data_figure2):\n",
    "    fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(14, 8), gridspec_kw={'height_ratios': [3, 3]})\n",
    "    \n",
    "    # Plot 1: Grouped bar plot with borders for 'Without AI'\n",
    "    bar_width = 0.2\n",
    "    genre_spacing = 0.2\n",
    "    index = np.arange(len(all_genres)) * (bar_width * len(condition_order) + genre_spacing)\n",
    "    \n",
    "    colors = {\n",
    "        'Without AI': 'white',\n",
    "        'Human Confirmation': 'black',\n",
    "        'Human Creativity': 'lightgray',\n",
    "        'Copilot': 'dimgray'\n",
    "    }\n",
    "    \n",
    "    for i, condition in enumerate(condition_order):\n",
    "        percentages = data_figure1[condition]\n",
    "        edgecolor = 'black' if condition == 'Without AI' else None\n",
    "        bar_positions = index + i * bar_width\n",
    "        bars = ax1.bar(bar_positions, percentages, bar_width, \n",
    "                       label=condition, color=colors[condition], edgecolor=edgecolor, alpha=0.7)\n",
    "        \n",
    "        # Add the integer values on top of the bars with a small offset\n",
    "        for bar in bars:\n",
    "            height = bar.get_height()\n",
    "            va = 'bottom' if height >= 0 else 'top'\n",
    "            offset = 0.5 if height >= 0 else -0.5  # Positive values slightly above, negative slightly below\n",
    "            ax1.text(bar.get_x() + bar.get_width() / 2, height + offset, f'{int(height)}', \n",
    "                     ha='center', va=va, fontsize=10)\n",
    "    \n",
    "    ax1.set_title('Comparison of Story Genre Percentages Across AI Assistance Types', fontsize=18, pad=10)\n",
    "    ax1.set_ylabel('Percentages of Stories', fontsize=14)\n",
    "    ax1.set_xlabel('')  # Remove x-label of the top figure\n",
    "    \n",
    "    # Bold specific genres on the x-axis\n",
    "    xtick_labels = []\n",
    "    for genre in all_genres:\n",
    "        if genre in ['Young Adult Fiction', 'Thriller/Suspense', 'Fantasy', 'Sci-Fi', 'Mystery/Crime Fiction']:\n",
    "            xtick_labels.append(f'$\\mathbf{{{genre}}}$')  # Bold specific genres using mathtext\n",
    "        else:\n",
    "            xtick_labels.append(genre)\n",
    "    \n",
    "    ax1.set_xticks(index + bar_width * (len(condition_order) - 1) / 2)\n",
    "    ax1.set_xticklabels([''] * len(xtick_labels))  # Remove x-tick labels for the top plot\n",
    "    ax1.tick_params(axis='x', length=0)  # Remove x-axis tick marks\n",
    "    \n",
    "    ax1.set_ylim(0,100)\n",
    "    \n",
    "    # Move legend to upper right and increase font size\n",
    "    ax1.legend(loc='upper right', fontsize=12, frameon=False)\n",
    "    \n",
    "    # Plot 2: Deviation plot\n",
    "    without_ai_percentages = data_figure2['Without AI']\n",
    "    \n",
    "    for i, condition in enumerate(condition_order):\n",
    "        if condition != 'Without AI':\n",
    "            percentages = data_figure2[condition]\n",
    "            absolute_diff = percentages - without_ai_percentages\n",
    "            bars = ax2.bar(index + (i - 1) * bar_width, absolute_diff, bar_width, \n",
    "                           label=condition, color=colors[condition], alpha=0.7)\n",
    "            \n",
    "            # Add the integer values on top (or under for negative values) of the bars with a small offset\n",
    "            for bar in bars:\n",
    "                height = bar.get_height()\n",
    "                va = 'bottom' if height >= 0 else 'top'\n",
    "                offset = 0.5 if height >= 0 else -0.5  # Positive values slightly above, negative slightly below\n",
    "                ax2.text(bar.get_x() + bar.get_width() / 2, height + offset, f'{height:.0f}', \n",
    "                         ha='center', va=va, fontsize=10)\n",
    "    \n",
    "    ax2.axhline(y=0, color='black', linestyle='--', linewidth=1, label='Without AI (Baseline)')\n",
    "    ax2.set_title('Percentage Point Differences from Writing Without AI', fontsize=18, pad=10)\n",
    "    ax2.set_ylabel('Percentage Point Differences', fontsize=14)\n",
    "    \n",
    "    # Bold specific genres on the x-axis for the second plot\n",
    "    ax2.set_xticks(index + bar_width * (len(condition_order) - 2) / 2)\n",
    "    ax2.set_xticklabels(xtick_labels, rotation=45, ha='right', fontsize=15)\n",
    "    \n",
    "    # Move legend to upper right and increase font size\n",
    "    #ax2.legend(loc='upper right', fontsize=12, frameon=False)\n",
    "    \n",
    "    ax2.set_ylim(-45,45)\n",
    "    \n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "    fig.savefig(\"Fig 4A - Genre Distribution Across Treatment Groups .pdf\", bbox_inches=\"tight\")\n",
    "\n",
    "# Create the combined plot\n",
    "create_combined_plot(data, data_figure2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99b29031",
   "metadata": {},
   "source": [
    "# B. Genre Similarity Between Stories Within Groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d219f537",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1600x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from matplotlib.lines import Line2D\n",
    "import matplotlib.path as mpath\n",
    "from scipy import stats\n",
    "from scipy.spatial.distance import cosine\n",
    "import seaborn as sns\n",
    "\n",
    "# Define the files for each condition\n",
    "condition_files = {\n",
    "    'Without AI': 'genre_Day1.csv',\n",
    "    'Human Confirmation': 'genre_Confirmation.csv',\n",
    "    'Human Creativity': 'genre_Creativity.csv',\n",
    "    'Copilot': 'genre_Copilot.csv'\n",
    "}\n",
    "\n",
    "# Define the genre columns\n",
    "all_genres = [\n",
    "    \"Horror Fiction\", \"Mystery/Crime Fiction\", \"Romance\", \"Sci-Fi\", \n",
    "    \"Thriller/Suspense\", \"Western Fiction\", \"Historical Fiction\", \n",
    "    \"Young Adult Fiction\", \"Fantasy\"\n",
    "]\n",
    "\n",
    "# Load and process data for each condition\n",
    "condition_data = {}\n",
    "for condition, filename in condition_files.items():\n",
    "    df = pd.read_csv(filename)\n",
    "    genre_vectors = df[all_genres].values\n",
    "    \n",
    "    # Calculate pairwise cosine similarity, handling zero-vector cases\n",
    "    similarities = []\n",
    "    for i in range(len(genre_vectors)):\n",
    "        for j in range(i + 1, len(genre_vectors)):\n",
    "            if not np.any(genre_vectors[i]) or not np.any(genre_vectors[j]):\n",
    "                # If either vector is all zeros, skip or set similarity to 0\n",
    "                similarities.append(0)\n",
    "            else:\n",
    "                similarities.append(1 - cosine(genre_vectors[i], genre_vectors[j]))\n",
    "    \n",
    "    condition_data[condition] = similarities\n",
    "\n",
    "# Combine similarity data for plotting\n",
    "data = pd.DataFrame({\n",
    "    'Similarity': np.concatenate([condition_data[cond] for cond in condition_data.keys()]),\n",
    "    'Condition': sum([[cond] * len(condition_data[cond]) for cond in condition_data.keys()], [])\n",
    "})\n",
    "\n",
    "# Create figure and subplots\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(16, 5), gridspec_kw={'width_ratios': [6, 4]})\n",
    "\n",
    "# Define custom markers and line styles for each condition\n",
    "rectangle_marker = mpath.Path([[-0.5, -0.25], [0.5, -0.25], [0.5, 0.25], [-0.5, 0.25], [-0.5, -0.25]], [mpath.Path.MOVETO, mpath.Path.LINETO, mpath.Path.LINETO, mpath.Path.LINETO, mpath.Path.CLOSEPOLY])\n",
    "condition_markers = {'Without AI': 'x', 'Human Confirmation': 'o', 'Human Creativity': rectangle_marker, 'Copilot': '^'}\n",
    "condition_linestyles = {'Without AI': 'solid', 'Human Confirmation': (0, (5, 2)), 'Human Creativity': (0, (1, 1)), 'Copilot': (0, (3, 5, 1, 5, 1, 5))}\n",
    "\n",
    "# --- Left Plot: KDE Distribution ---\n",
    "bandwidth = 3\n",
    "legend_handles = []\n",
    "for condition, similarities in condition_data.items():\n",
    "    mean_value = np.mean(similarities)\n",
    "    linestyle = condition_linestyles[condition]\n",
    "    \n",
    "    kde_plot = sns.kdeplot(data=similarities, color='black', linestyle=linestyle, bw_adjust=bandwidth, lw=1.5, ax=ax1)\n",
    "    line = ax1.get_lines()[-1]\n",
    "    peak_x, peak_y = line.get_xdata()[np.argmax(line.get_ydata())], max(line.get_ydata())\n",
    "    ax1.plot(peak_x, peak_y, marker=condition_markers[condition], color='black', markersize=10, linestyle='None', zorder=5)\n",
    "    \n",
    "    legend_handles.append(Line2D([0], [0], color='black', linestyle=linestyle, marker=condition_markers[condition], markersize=8, label=f\"{condition} (Mean={mean_value:.2f})\"))\n",
    "\n",
    "ax1.legend(handles=legend_handles, loc='upper left', fontsize=12, frameon=False)\n",
    "ax1.set_xlabel('Genre Similarity to Stories in Same Condition\\n(Distribution)', fontsize=18, labelpad=10)\n",
    "ax1.set_ylabel('Density', fontsize=14, labelpad=10)\n",
    "ax1.tick_params(axis='x', labelsize=14)\n",
    "ax1.tick_params(axis='y', labelsize=14)\n",
    "\n",
    "# --- Right Plot: Mean and CI ---\n",
    "mean_ci_data = []\n",
    "for condition, similarities in condition_data.items():\n",
    "    mean_value, sem = np.mean(similarities), stats.sem(similarities)\n",
    "    ci_margin = sem * stats.t.ppf((1 + 0.95) / 2., len(similarities) - 1)\n",
    "    mean_ci_data.append({'Condition': condition, 'Mean': mean_value, 'CI_Lower': ci_margin, 'CI_Upper': ci_margin})\n",
    "\n",
    "mean_ci_df = pd.DataFrame(mean_ci_data)\n",
    "condition_positions = {condition: idx for idx, condition in enumerate(condition_files.keys())}\n",
    "mean_ci_df['Position'] = mean_ci_df['Condition'].map(condition_positions)\n",
    "\n",
    "for idx, row in mean_ci_df.iterrows():\n",
    "    ax2.errorbar(row['Mean'], row['Position'], xerr=[[row['CI_Lower']], [row['CI_Upper']]], fmt='', marker=condition_markers[row['Condition']], color='black', linestyle='None', markersize=8, capsize=5)\n",
    "\n",
    "ax2.set_xlabel('Genre Similarity to Stories in Same Condition\\n(Mean and 95% CI)', fontsize=18, labelpad=10)\n",
    "ax2.set_yticks([])  # Remove y-axis tick marks\n",
    "ax2.tick_params(axis='y', which='both', left=False)\n",
    "ax2.tick_params(axis='x', labelsize=14)\n",
    "ax2.set_xlim(0.5, 0.62)\n",
    "ax2.set_ylim(-1, 4)\n",
    "ax2.invert_yaxis()\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# Save the figure to a PDF file\n",
    "fig.savefig(\"Fig 4B - Genre Similarity Between Stories Within Groups.pdf\", bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "212a855e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Without AI: Mean = 3.45, 95% CI = (3.36, 3.53)\n",
      "Human Confirmation: Mean = 4.07, 95% CI = (3.90, 4.23)\n",
      "Human Creativity: Mean = 3.55, 95% CI = (3.40, 3.69)\n",
      "Copilot: Mean = 3.76, 95% CI = (3.60, 3.92)\n"
     ]
    }
   ],
   "source": [
    "# Number of Genres with 95% CI\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from scipy.stats import sem, t\n",
    "\n",
    "# Filenames for each condition\n",
    "filenames = {\n",
    "    'Without AI': 'genre_Day1.csv',\n",
    "    'Human Confirmation': 'genre_Confirmation.csv',\n",
    "    'Human Creativity': 'genre_Creativity.csv',\n",
    "    'Copilot': 'genre_Copilot.csv'\n",
    "}\n",
    "\n",
    "# Confidence level\n",
    "confidence = 0.95\n",
    "\n",
    "# Iterate through each condition and calculate mean and CI\n",
    "for condition, filename in filenames.items():\n",
    "    # Load data\n",
    "    data = pd.read_csv(filename).iloc[:, 4:].values.sum(axis=1)\n",
    "    \n",
    "    # Calculate mean\n",
    "    mean = np.mean(data)\n",
    "    \n",
    "    # Calculate margin of error for 95% CI\n",
    "    h = sem(data) * t.ppf((1 + confidence) / 2, len(data) - 1)\n",
    "    \n",
    "    # Print results\n",
    "    print(f\"{condition}: Mean = {mean:.2f}, 95% CI = ({mean - h:.2f}, {mean + h:.2f})\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5c18cfc1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            Condition      Mean  CI_Lower  CI_Upper\n",
      "0          Without AI  0.532138  0.529844  0.534432\n",
      "1  Human Confirmation  0.591664  0.585153  0.598174\n",
      "2    Human Creativity  0.532512  0.525726  0.539299\n",
      "3             Copilot  0.527437  0.520583  0.534291\n"
     ]
    }
   ],
   "source": [
    "# Genre Similarities with 95% CI \n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from scipy.stats import sem, t\n",
    "\n",
    "# Compute mean and 95% CI for each condition\n",
    "results = []\n",
    "for condition, similarities in condition_data.items():\n",
    "    mean_value = np.mean(similarities)\n",
    "    sem_value = sem(similarities)\n",
    "    ci_margin = sem_value * t.ppf((1 + 0.95) / 2, len(similarities) - 1)\n",
    "    results.append({\n",
    "        'Condition': condition,\n",
    "        'Mean': mean_value,\n",
    "        'CI_Lower': mean_value - ci_margin,\n",
    "        'CI_Upper': mean_value + ci_margin\n",
    "    })\n",
    "\n",
    "# Create a DataFrame for better visualization\n",
    "results_df = pd.DataFrame(results)\n",
    "\n",
    "# Display the results\n",
    "print(results_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3c80015",
   "metadata": {},
   "source": [
    "# C. Similarity Between Stories Within Groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "48aa76c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1600x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from matplotlib.lines import Line2D\n",
    "import matplotlib.path as mpath\n",
    "from scipy import stats\n",
    "import seaborn as sns\n",
    "\n",
    "# Load the data for the four conditions\n",
    "day1 = pd.read_csv('3large_result_df_Day1.csv')\n",
    "human_creativity = pd.read_csv('3large_result_df_A.csv')\n",
    "human_confirmation = pd.read_csv('3large_result_df_B.csv')\n",
    "copilot = pd.read_csv('3large_result_df_C.csv')\n",
    "\n",
    "# Extract the 'Similarity' column from each dataset\n",
    "similarity_day1 = day1['Similarity']\n",
    "similarity_a = human_creativity['Similarity']\n",
    "similarity_b = human_confirmation['Similarity']\n",
    "similarity_c = copilot['Similarity']\n",
    "\n",
    "# Combine the data into a single dataframe for easier plotting\n",
    "data = pd.DataFrame({\n",
    "    'Similarity': pd.concat([similarity_day1, similarity_b, similarity_a, similarity_c]),\n",
    "    'Condition': ['No AI Support'] * len(similarity_day1) + \n",
    "                 ['Human Confirmation'] * len(similarity_b) + \n",
    "                 ['Human Creativity'] * len(similarity_a) + \n",
    "                 ['Copilot'] * len(similarity_c)\n",
    "})\n",
    "\n",
    "# Create the figure with two subplots side by side, with a 6:4 ratio\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(16, 5), gridspec_kw={'width_ratios': [6, 4]})\n",
    "\n",
    "# --- Define Markers and Line Styles ---\n",
    "\n",
    "# Define custom rectangle marker\n",
    "rectangle_marker = mpath.Path(\n",
    "    [[-0.5, -0.25], [0.5, -0.25], [0.5, 0.25], [-0.5, 0.25], [-0.5, -0.25]],\n",
    "    [mpath.Path.MOVETO, mpath.Path.LINETO, mpath.Path.LINETO, mpath.Path.LINETO, mpath.Path.CLOSEPOLY]\n",
    ")\n",
    "\n",
    "# Define markers and custom line styles for each condition\n",
    "condition_markers = {\n",
    "    'No AI Support': 'x',            # Changed from 'D' (Diamond) to 'x'\n",
    "    'Human Confirmation': 'o',       # Circle\n",
    "    'Human Creativity': rectangle_marker, # Rectangle\n",
    "    'Copilot': '^'                   # Triangle\n",
    "}\n",
    "\n",
    "# Custom line styles using dash patterns\n",
    "condition_linestyles = {\n",
    "    'No AI Support': 'solid',        # Solid line\n",
    "    'Human Confirmation': (0, (5, 2)),       # Dashed line with longer dashes\n",
    "    'Human Creativity': (0, (1, 1)),         # Dotted line\n",
    "    'Copilot': (0, (3, 5, 1, 5, 1, 5))       # Dash-dot-dot line\n",
    "}\n",
    "\n",
    "# --- Left plot: KDE plot (Density Distribution) ---\n",
    "\n",
    "bandwidth = 0.8\n",
    "\n",
    "# Create a list of conditions for consistent order\n",
    "conditions = ['No AI Support', 'Human Confirmation', 'Human Creativity', 'Copilot']\n",
    "\n",
    "# Create a dictionary of the similarity data\n",
    "similarity_data = {\n",
    "    'No AI Support': similarity_day1,\n",
    "    'Human Confirmation': similarity_b,\n",
    "    'Human Creativity': similarity_a,\n",
    "    'Copilot': similarity_c\n",
    "}\n",
    "\n",
    "# Prepare the legend handles\n",
    "legend_handles = []\n",
    "\n",
    "# Plot KDEs without automatic legends\n",
    "for condition in conditions:\n",
    "    data_to_plot = similarity_data[condition]\n",
    "    mean_value = data_to_plot.mean()\n",
    "    linestyle = condition_linestyles[condition]\n",
    "    \n",
    "    # Plot KDE\n",
    "    kde_plot = sns.kdeplot(\n",
    "        data=data_to_plot, color='black', linestyle=linestyle, \n",
    "        bw_adjust=bandwidth, lw=1.5, ax=ax1\n",
    "    )\n",
    "    \n",
    "    # Get the line just added (the last line in ax1.lines)\n",
    "    line = ax1.get_lines()[-1]\n",
    "    \n",
    "    # Get the x and y data from the line\n",
    "    x_data = line.get_xdata()\n",
    "    y_data = line.get_ydata()\n",
    "    \n",
    "    # Find the index of the maximum y value (peak)\n",
    "    peak_idx = np.argmax(y_data)\n",
    "    \n",
    "    # Get the x and y coordinates of the peak\n",
    "    peak_x = x_data[peak_idx]\n",
    "    peak_y = y_data[peak_idx]\n",
    "    \n",
    "    # Plot the marker at the peak\n",
    "    marker = condition_markers[condition]\n",
    "    ax1.plot(\n",
    "        peak_x, peak_y,\n",
    "        marker=marker,\n",
    "        color='black',\n",
    "        markersize=10,\n",
    "        markerfacecolor='black',\n",
    "        markeredgecolor='black',\n",
    "        linestyle='None',\n",
    "        zorder=5\n",
    "    )\n",
    "    \n",
    "    # Create custom Line2D object for legend\n",
    "    label = f\"{condition} (Mean={mean_value:.2f})\"\n",
    "    line_handle = Line2D(\n",
    "        [0], [0],\n",
    "        color='black',\n",
    "        linestyle=linestyle,\n",
    "        marker=marker,\n",
    "        markerfacecolor='black',\n",
    "        markersize=8,\n",
    "        label=label\n",
    "    )\n",
    "    legend_handles.append(line_handle)\n",
    "\n",
    "# Add the legend to the left plot without border\n",
    "ax1.legend(handles=legend_handles, loc='upper left', fontsize=12, frameon=False)\n",
    "\n",
    "# Customize the left plot\n",
    "ax1.set_xlabel('Similarity to Stories in Same Condition\\n(Distribution)', fontsize=18, labelpad=10)\n",
    "ax1.set_ylabel('Density', fontsize=14, labelpad=10)\n",
    "ax1.tick_params(axis='x', labelsize=14)\n",
    "ax1.tick_params(axis='y', labelsize=14)\n",
    "\n",
    "# --- Right plot: Point plot with error bars ---\n",
    "\n",
    "# Calculate means and confidence intervals for each condition\n",
    "mean_ci_data = []\n",
    "for condition in conditions:\n",
    "    data_to_plot = similarity_data[condition]\n",
    "    mean_value = data_to_plot.mean()\n",
    "    n = len(data_to_plot)\n",
    "    sem = stats.sem(data_to_plot)\n",
    "    ci = sem * stats.t.ppf((1 + 0.95) / 2., n-1)\n",
    "    ci_lower = ci  # The ci value is the margin\n",
    "    ci_upper = ci  # Symmetric confidence interval\n",
    "    mean_ci_data.append({\n",
    "        'Condition': condition,\n",
    "        'Mean': mean_value,\n",
    "        'CI_Lower': ci_lower,\n",
    "        'CI_Upper': ci_upper\n",
    "    })\n",
    "mean_ci_df = pd.DataFrame(mean_ci_data)\n",
    "\n",
    "# Assign numerical positions to conditions\n",
    "condition_positions = {\n",
    "    'No AI Support': 0,\n",
    "    'Human Confirmation': 1,\n",
    "    'Human Creativity': 2,\n",
    "    'Copilot': 3\n",
    "}\n",
    "mean_ci_df['Position'] = mean_ci_df['Condition'].map(condition_positions)\n",
    "\n",
    "# Plot each condition\n",
    "for idx, row in mean_ci_df.iterrows():\n",
    "    position = row['Position']\n",
    "    mean_value = row['Mean']\n",
    "    ci_lower = row['CI_Lower']\n",
    "    ci_upper = row['CI_Upper']\n",
    "    marker = condition_markers[row['Condition']]\n",
    "    \n",
    "    # Plot error bars with markers\n",
    "    ax2.errorbar(\n",
    "        x=mean_value,\n",
    "        y=position,\n",
    "        xerr=[[ci_lower], [ci_upper]],\n",
    "        fmt='',                # Set fmt to empty string\n",
    "        marker=marker,         # Specify the marker separately\n",
    "        color='black',\n",
    "        linestyle='None',\n",
    "        markersize=8,\n",
    "        capsize=5\n",
    "    )\n",
    "\n",
    "# Customize the right plot\n",
    "ax2.set_xlabel('Similarity to Stories in Same Condition\\n(Mean and 95% CI)', fontsize=18, labelpad=10)\n",
    "ax2.set_ylabel('')  # Remove y-axis label\n",
    "ax2.set_yticks([])  # Remove y-axis tick marks\n",
    "ax2.tick_params(axis='y', which='both', left=False)  # Remove y-axis tick lines\n",
    "ax2.tick_params(axis='x', labelsize=14)\n",
    "ax2.set_xlim(0.6, 0.85)\n",
    "ax2.set_ylim(-1, 4)\n",
    "ax2.set_xticks(np.arange(0.6, 0.86, 0.05))\n",
    "ax2.invert_yaxis()  # Optional: invert y-axis to match the order\n",
    "\n",
    "# Adjust layout\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.show()\n",
    "\n",
    "# Save the combined plots to a single PDF file\n",
    "fig.savefig(\"Fig 4C - Semantic Similarity Between Stories Within Groups.pdf\", bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0096ecb0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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